submission_id: cgato-smallsmorts-l3-8b-v0-1_v2
developer_uid: c.gato
best_of: 16
celo_rating: 1190.11
display_name: cgato-smallsmorts-l3-8b-v0-1_v2
family_friendly_score: 0.0
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': True}
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/SmallSmorts-L3-8b-v0.1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/SmallSmorts-L3-8b-
model_name: cgato-smallsmorts-l3-8b-v0-1_v2
model_num_parameters: 8030294016.0
model_repo: cgato/SmallSmorts-L3-8b-v0.1
model_size: 8B
num_battles: 16962
num_wins: 8632
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': True, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-06-16T07:44:14+00:00
us_pacific_date: 2024-06-16
win_ratio: 0.5089022520929136
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer
Waiting for job on cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer to finish
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ _____ __ __ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ /___/ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ https://mk1.ai ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ belonging to: ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Downloaded to shared memory in 63.598s
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:06, 43.98it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 63.89it/s] Loading 0: 7%|▋ | 21/291 [00:00<00:03, 70.89it/s] Loading 0: 10%|▉ | 29/291 [00:00<00:03, 73.78it/s] Loading 0: 13%|█▎ | 37/291 [00:00<00:03, 67.00it/s] Loading 0: 15%|█▌ | 44/291 [00:00<00:03, 63.24it/s] Loading 0: 19%|█▊ | 54/291 [00:00<00:03, 73.29it/s] Loading 0: 23%|██▎ | 66/291 [00:00<00:02, 85.38it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:02, 87.73it/s] Loading 0: 29%|██▉ | 85/291 [00:01<00:04, 44.74it/s] Loading 0: 32%|███▏ | 94/291 [00:01<00:03, 49.79it/s] Loading 0: 35%|███▌ | 103/291 [00:01<00:03, 54.10it/s] Loading 0: 38%|███▊ | 112/291 [00:01<00:03, 57.53it/s] Loading 0: 42%|████▏ | 121/291 [00:01<00:02, 60.03it/s] Loading 0: 45%|████▍ | 130/291 [00:02<00:02, 63.59it/s] Loading 0: 48%|████▊ | 140/291 [00:02<00:02, 71.06it/s] Loading 0: 54%|█████▎ | 156/291 [00:02<00:01, 88.52it/s] Loading 0: 57%|█████▋ | 166/291 [00:02<00:01, 90.42it/s] Loading 0: 62%|██████▏ | 180/291 [00:02<00:01, 98.21it/s] Loading 0: 66%|██████▌ | 191/291 [00:02<00:01, 57.20it/s] Loading 0: 69%|██████▉ | 201/291 [00:03<00:01, 64.02it/s] Loading 0: 73%|███████▎ | 211/291 [00:03<00:01, 70.31it/s] Loading 0: 76%|███████▌ | 221/291 [00:03<00:00, 75.79it/s] Loading 0: 81%|████████ | 235/291 [00:03<00:00, 90.79it/s] Loading 0: 85%|████████▍ | 246/291 [00:03<00:00, 95.22it/s] Loading 0: 88%|████████▊ | 257/291 [00:03<00:00, 93.04it/s] Loading 0: 94%|█████████▍| 273/291 [00:03<00:00, 104.98it/s] Loading 0: 98%|█████████▊| 285/291 [00:03<00:00, 104.04it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: quantized model in 25.695s
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Processed model cgato/SmallSmorts-L3-8b-v0.1 in 92.132s
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ _____ __ __ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ /___/ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ https://mk1.ai ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ belonging to: ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
Job cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer completed after 113.58s with status: failed
Stopping job with name cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer
Waiting for job on cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer to finish
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ _____ __ __ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ /___/ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ https://mk1.ai ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ belonging to: ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Traceback (most recent call last):
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 509, in http_get
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: hf_transfer.download(
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Exception: Error while downloading: reqwest::Error { kind: Request, url: Url { scheme: "https", cannot_be_a_base: false, username: "", password: None, host: Some(Domain("cdn-lfs-us-1.huggingface.co")), port: None, path: "/repos/51/46/e1a4b56cbdc86e1f4d7d0/49e88a8c193716e4db4e2f2573e14075718c08bd313ea01cea03cfb22c7b0a1c", query: Some("response-content-disposition=inline%3B+filename*%3DUTF-8%27%27model-00001-of-00004.safetensors%3B+filename%3D%22model-00001-of-00004.safetensors%22%3B&Expires=1718781171&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxODc4MTE3MX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzUxLzQ2LzUxNDYzMTIxNWZjMjA4OGZjMDgzMDRjYmNiMjIxODYwY2I2ODI3NjA3NjllMWE0YjU2Y2JkYzg2ZTFmNGQ3ZDAvNDllODhhOGMxOTM3MTZlNGRiNGUyZjI1NzNlMTQwNzU3MThjMDhiZDMxM2VhMDFjZWEwM2NmYjIyYzdiMGExYz9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=N71WkWy9e4w2O0Hvw%7EeXAvoztckqTSHLbh-IqApyQqz%7EyMQaiX773EfE%7EF3VVeQjBOUi2yvrjmzy3NQCp3ShubCLDbizt68eKwEfrcQz%7E0k-5HhKehuupEZJ4Rcae7IsPc6jUgYyHUxERUCkzAzKMSLx4di02jKXzlnGrb7tK2My7WUkXy-3uTJQIUDU-BQV84Yzz%7Ec-kKunWXH4zScXeJ1YxuCO8znvCA7k9DWYT92im38zalCBVsr5jAq777MJW3G9IA4R8vNMXHhLaEh4YO3iGAsGhHFRYplNUJMClMwnBAu9qyZsgxCkx7nFuiX%7EatLZEFssa3V2JdRx9VG%7EdA__&Key-Pair-Id=K2FPYV99P2N66Q"), fragment: None }, source: hyper::Error(Connect, ConnectError("dns error", Custom { kind: Uncategorized, error: "failed to lookup address information: Temporary failure in name resolution" })) }
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: The above exception was the direct cause of the following exception:
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Traceback (most recent call last):
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 151, in <module>
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cli()
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1128, in __call__
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: return self.main(*args, **kwargs)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1053, in main
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: rv = self.invoke(ctx)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1659, in invoke
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1395, in invoke
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 754, in invoke
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: return __callback(*args, **kwargs)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 38, in quantize
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 65, in download_to_shared_memory
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: snapshot_download(
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: return fn(*args, **kwargs)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 314, in snapshot_download
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: _inner_hf_hub_download(file)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 290, in _inner_hf_hub_download
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: return hf_hub_download(
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: return fn(*args, **kwargs)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1492, in hf_hub_download
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: http_get(
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 520, in http_get
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: raise RuntimeError(
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer completed after 32.43s with status: failed
Stopping job with name cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer
Waiting for job on cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer to finish
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ _____ __ __ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ /___/ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ https://mk1.ai ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ belonging to: ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ║ ║
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Downloaded to shared memory in 62.203s
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:02, 110.92it/s] Loading 0: 9%|▉ | 26/291 [00:00<00:02, 120.83it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:02, 119.59it/s] Loading 0: 19%|█▊ | 54/291 [00:00<00:01, 124.86it/s] Loading 0: 23%|██▎ | 67/291 [00:00<00:01, 122.72it/s] Loading 0: 28%|██▊ | 81/291 [00:00<00:01, 127.37it/s] Loading 0: 32%|███▏ | 94/291 [00:01<00:03, 60.33it/s] Loading 0: 37%|███▋ | 108/291 [00:01<00:02, 73.67it/s] Loading 0: 42%|████▏ | 121/291 [00:01<00:02, 83.39it/s] Loading 0: 46%|████▋ | 135/291 [00:01<00:01, 95.27it/s] Loading 0: 51%|█████ | 148/291 [00:01<00:01, 100.79it/s] Loading 0: 56%|█████▌ | 162/291 [00:01<00:01, 109.69it/s] Loading 0: 60%|██████ | 176/291 [00:01<00:00, 116.59it/s] Loading 0: 65%|██████▍ | 189/291 [00:02<00:01, 72.07it/s] Loading 0: 69%|██████▉ | 202/291 [00:02<00:01, 81.61it/s] Loading 0: 74%|███████▍ | 216/291 [00:02<00:00, 93.34it/s] Loading 0: 79%|███████▊ | 229/291 [00:02<00:00, 99.82it/s] Loading 0: 84%|████████▎ | 243/291 [00:02<00:00, 108.38it/s] Loading 0: 88%|████████▊ | 256/291 [00:02<00:00, 111.04it/s] Loading 0: 93%|█████████▎| 270/291 [00:02<00:00, 118.02it/s] Loading 0: 97%|█████████▋| 283/291 [00:02<00:00, 117.18it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: quantized model in 23.963s
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Processed model cgato/SmallSmorts-L3-8b-v0.1 in 88.759s
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-smallsmorts-l3-8b-v0-1-v2
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-smallsmorts-l3-8b-v0-1-v2/special_tokens_map.json
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-smallsmorts-l3-8b-v0-1-v2/config.json
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-smallsmorts-l3-8b-v0-1-v2/tokenizer_config.json
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-smallsmorts-l3-8b-v0-1-v2/tokenizer.json
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-smallsmorts-l3-8b-v0-1-v2/flywheel_model.0.safetensors
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: warnings.warn(
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: warnings.warn(
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Saving duration: 0.415s
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.356s
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-smallsmorts-l3-8b-v0-1-v2_reward
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-smallsmorts-l3-8b-v0-1-v2_reward/special_tokens_map.json
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-smallsmorts-l3-8b-v0-1-v2_reward/merges.txt
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-smallsmorts-l3-8b-v0-1-v2_reward/config.json
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-smallsmorts-l3-8b-v0-1-v2_reward/vocab.json
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-smallsmorts-l3-8b-v0-1-v2_reward/tokenizer_config.json
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-smallsmorts-l3-8b-v0-1-v2_reward/tokenizer.json
cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-smallsmorts-l3-8b-v0-1-v2_reward/reward.tensors
Job cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer completed after 134.96s with status: succeeded
Stopping job with name cgato-smallsmorts-l3-8b-v0-1-v2-mkmlizer
Pipeline stage MKMLizer completed in 282.45s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-smallsmorts-l3-8b-v0-1-v2
Waiting for inference service cgato-smallsmorts-l3-8b-v0-1-v2 to be ready
Tearing down inference service cgato-smallsmorts-l3-8b-v0-1-v2
%s, retrying in %s seconds...
Creating inference service cgato-smallsmorts-l3-8b-v0-1-v2
Waiting for inference service cgato-smallsmorts-l3-8b-v0-1-v2 to be ready
Inference service cgato-smallsmorts-l3-8b-v0-1-v2 ready after 90.46630549430847s
Pipeline stage ISVCDeployer completed in 705.02s
Running pipeline stage StressChecker
Received healthy response to inference request in 12.42864179611206s
Received healthy response to inference request in 1.3130559921264648s
Received healthy response to inference request in 1.239488124847412s
Received healthy response to inference request in 1.295701026916504s
Received healthy response to inference request in 1.2482500076293945s
5 requests
0 failed requests
5th percentile: 1.2412405014038086
10th percentile: 1.242992877960205
20th percentile: 1.246497631072998
30th percentile: 1.2577402114868164
40th percentile: 1.2767206192016602
50th percentile: 1.295701026916504
60th percentile: 1.3026430130004882
70th percentile: 1.3095849990844726
80th percentile: 3.536173152923586
90th percentile: 7.9824074745178235
95th percentile: 10.205524635314939
99th percentile: 11.984018363952636
mean time: 3.5050273895263673
Pipeline stage StressChecker completed in 18.54s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
cgato-smallsmorts-l3-8b-v0-1_v2 status is now deployed due to DeploymentManager action
cgato-smallsmorts-l3-8b-v0-1_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-smallsmorts-l3-8b-v0-1_v2
Running pipeline stage ISVCDeleter
Checking if service cgato-smallsmorts-l3-8b-v0-1-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.93s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2/config.json from bucket guanaco-mkml-models
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-smallsmorts-l3-8b-v0-1-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.95s
cgato-smallsmorts-l3-8b-v0-1_v2 status is now torndown due to DeploymentManager action